Lee Sheldon

1.1k total citations
19 papers, 353 citations indexed

About

Lee Sheldon is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Lee Sheldon has authored 19 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Lee Sheldon's work include Heart Failure Treatment and Management (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac pacing and defibrillation studies (4 papers). Lee Sheldon is often cited by papers focused on Heart Failure Treatment and Management (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac pacing and defibrillation studies (4 papers). Lee Sheldon collaborates with scholars based in Singapore, United States and Netherlands. Lee Sheldon's co-authors include Nancy F. Chen, Ai Ti Aw, Zhengyuan Liu, Michael R. MacDonald, Mei Si, Wai Leng Chow, Kui Toh Gerard Leong, Lai Yin Wong, Sanjay Doddamani and Mark Richards and has published in prestigious journals such as The American Journal of Cardiology, European Journal of Heart Failure and Nonlinear Analysis.

In The Last Decade

Lee Sheldon

16 papers receiving 311 citations

Peers

Lee Sheldon
Paul Toprac United States
Andrew Cain Australia
Jason Walonoski United States
Hub Kurvers Netherlands
Mark K. Jones United Kingdom
Paul Toprac United States
Lee Sheldon
Citations per year, relative to Lee Sheldon Lee Sheldon (= 1×) peers Paul Toprac

Countries citing papers authored by Lee Sheldon

Since Specialization
Citations

This map shows the geographic impact of Lee Sheldon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lee Sheldon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Sheldon more than expected).

Fields of papers citing papers by Lee Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee Sheldon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lee Sheldon. The network helps show where Lee Sheldon may publish in the future.

Co-authorship network of co-authors of Lee Sheldon

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Sheldon. A scholar is included among the top collaborators of Lee Sheldon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lee Sheldon. Lee Sheldon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jin, Xuanyi, Wan Ting Tay, Dinna Soon, et al.. (2025). Patients with chronic heart failure and predominant left atrial versus left ventricular myopathy. Cardiovascular Ultrasound. 23(1). 1–1. 1 indexed citations
2.
Cao, Zhen, Yang Guo, Chandan Gautam, et al.. (2025). Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-series Data. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.
3.
Sheldon, Lee. (2022). Character Development and Storytelling for Games. 12 indexed citations
4.
Sheldon, Lee. (2021). The Multiplayer Classroom. 2 indexed citations
5.
Sheldon, Lee, et al.. (2021). Mathematical Modeling and Simulation with MATLAB. ScholarWorks - UA (University of Alaska System).
6.
Ouwerkerk, Wouter, Jasper Tromp, Xuanyi Jin, et al.. (2020). Heart Failure with Preserved Ejection Fraction Diagnostic Scores in an Asian Population. European Journal of Heart Failure. 22(9). 1737–1739. 11 indexed citations
7.
Sheldon, Lee. (2020). The Multiplayer Classroom. 21 indexed citations
8.
Fahimi, Fatemeh, Lee Sheldon, Savitha Ramasamy, et al.. (2020). A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.. PubMed. 2020. 432–441. 3 indexed citations
9.
Sheldon, Lee, et al.. (2020). Statistics - High school. 2 indexed citations
10.
11.
Liu, Zhengyuan, et al.. (2019). Topic-Aware Pointer-Generator Networks for Summarizing Spoken Conversations. 814–821. 55 indexed citations
13.
Leong, Kui Toh Gerard, Lai Yin Wong, Michael R. MacDonald, et al.. (2017). Risk Stratification Model for 30-Day Heart Failure Readmission in a Multiethnic South East Asian Community. The American Journal of Cardiology. 119(9). 1428–1432. 23 indexed citations
14.
MacDonald, Michael R., et al.. (2016). Comparison of Characteristics and Outcomes of Heart Failure Patients With Preserved Versus Reduced Ejection Fraction in a Multiethnic Southeast Asian Cohort. The American Journal of Cardiology. 118(8). 1233–1238. 8 indexed citations
15.
Sheldon, Lee, et al.. (2012). Foreign language learning in immersive virtual environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8289. 828902–828902. 21 indexed citations
16.
Sheldon, Lee. (2011). The Multiplayer Classroom: Designing Coursework as a Game. CERN Document Server (European Organization for Nuclear Research). 166 indexed citations
17.
Sheldon, Lee. (2010). ilovebees: playing and designing in real-time. Springer eBooks. 243–252. 1 indexed citations
18.
Sheldon, Lee. (2004). Character Development and Storytelling for Games (Game Development Series). 12 indexed citations
19.
Cossío, Jorge, Lee Sheldon, & John M. Neuberger. (2001). A reduction algorithm for sublinear Dirichlet problems. Nonlinear Analysis. 47(5). 3379–3390. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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